The diploma thesis deals with the evaluation of suppliers security systems to a selected company. After a thorough analysis of the company, a decision model was created based on the fuzzy logic in MS Excel and MATLAB environment. These models serve as a decision support and allow to evaluate individual offers.

The diploma thesis deals with the evaluation of the quality of customers using fuzzy logic based on the evaluation of their orders. The thesis consists of three parts. The first part is the theoretical basis of the thesis, which explains the issue of fuzzy logic. The second is the analytical part, in which the company ZKN METAL s.r.o. was introduced, for which a specific solution is subsequently proposed in the third and last part of the thesis. This solution is processed in the form of two models. The first of the models is processed in the MS Excel program and the second is modeled using the MATLAB programming environment. Both models are set in a user-intuitive environment and they are compared with each other afterwards.

The thesis deals with the design of a model used for evaluation and selection of fire-retardant footwear suppliers for the company Požární bezpečnost s. r. o. The thesis includes a summary of the theoretical foundation for processing the work, a presentation of the selected company and a draft of an evaluation model that assesses the contractor based on the chosen criteria and makes it easier for the company to make their decision. The model is created by using fuzzy logic in Microsoft Excel and MATLAB programs.

Indiana University-Purdue University Indianapolis (IUPUI) / Obstacle detection, avoidance and path finding for autonomous vehicles requires precise information of the vehicle’s system environment for faultless navigation and decision making. As such vision and depth perception sensors have become an integral part of autonomous vehicles in the current research and development of the autonomous industry. The advancements made in vision sensors such as radars, Light Detection And Ranging (LIDAR) sensors and compact high resolution cameras is encouraging, however individual sensors can be prone to error and misinformation due to environmental factors such as scene illumination, object reflectivity and object transparency. The application of sensor fusion in a system, by the utilization of multiple sensors perceiving similar or relatable information over a network, is implemented to provide a more robust and complete system information and minimize the overall perceived error of the system. 3D LIDAR and monocular camera are the most commonly utilized vision sensors for the implementation of sensor fusion. 3D LIDARs boast a high accuracy and resolution for depth capturing for any given environment and have a broad range of applications such as terrain mapping and 3D reconstruction. Despite 3D LIDAR being the superior sensor for depth, the high cost and sensitivity to its environment make it a poor choice for mid-range application such as autonomous rovers, RC cars and robots. 2D LIDARs are more affordable, easily available and have a wider range of applications than 3D LIDARs, making them the more obvious choice for budget projects. The primary objective of this thesis is to implement a smart and robust sensor fusion system using 2D LIDAR and a stereo depth camera to capture depth and color information of an environment. The depth points generated by the LIDAR are fused with the depth map generated by the stereo camera by a Fuzzy system that implements smart fusion and corrects any gaps in the depth information of the stereo camera. The use of Fuzzy system for sensor fusion of 2D LIDAR and stereo camera is a novel approach to the sensor fusion problem and the output of the fuzzy fusion provides higher depth confidence than the individual sensors provide. In this thesis, we will explore the multiple layers of sensor and data fusion that have been applied to the vision system, both on the camera and lidar data individually and in relation to each other. We will go into detail regarding the development and implementation of fuzzy logic based fusion approach, the fuzzification of input data and the method of selection of the fuzzy system for depth specific fusion for the given vision system and how fuzzy logic can be utilized to provide information which is vastly more reliable than the information provided by the camera and LIDAR separately

A PID controller and a Fuzzy Logic controller were designed to balance an inverted pendulum system. Both controllers were implemented in a Digital Signal Processor (DSP). Measurements of the angular position of the pendulum (feedback signal) were taken from a precision potentiometer and transformed into digital by an Analog Interface Board (AlB) to be processed by the DSP. The DSP generated the digital control signal that was converted into analog by the AlB and then filtered and amplified to drive a DC motor. The DC motor provided the control force for the mobil base where the inverted pendulum was mounted. The PID controller was designed to move an unstable pole of the system from the tight side of the s-plane into the left side of the s-plane to provide stability and fast response. The Fuzzy Logic controller was designed using thirteen control rules that were generated using human intuition. It was found that the Fuzzy Logic controller required a considerably larger amount of memory than the PID controller. In general, the Fuzzy Logic controller performed better than the PID controller. It was concluded that nonlinearities present in some components of the system caused the PID controller not to perform as well. It was also found that the Fuzzy Logic controller was less sensitive to these nonlinearities, resulting in a better control of the inverted pendulum.

Master’s thesis deals with mathematical operation with fuzzy numbers. The first part of the thesis deals with theoretical knowledge of fuzzy arithmetic and defines fuzzy sets, fuzzy numbers, universum and five membership function used in program. In the concrete it describes – cut method for dealing with fuzzy numbers as with limited interval for specific level which simplifies computation. The second part of the thesis contains description of programmed module for mathematical operation with fuzzy numbers. There is described creation of user interface which is using to set parameters of computation. There are also described support functions which make operation with fuzzy numbers possible and operation ensures output.

This diploma thesis deals with the process of company supplier selection in the florist Dagmar. Several methods solving similar problems with different tools have been described. The group of potential suppliers has been introduced and their most important features summarized for the purpose of this work. The main part is focused on the evaluation of the suppliers according to specified metrics by the method using fuzzy logic and Matlab simulation tool. The results of this work leads to suggestion of the supplier most suitable for florist and its business strategy.

The aim of this diploma thesis is refer to the supplier evaluation and selection process in business sphere. On the business sphere is putted emphasis because securing of company sources are more and more important parts of strategic decision making. In this paper is analyzed supplier selection problem and are analyzed most common methods to determine the best supplier. The goal of this paper is proposal of own program solution of evaluation and supplier selection build on evolution methods, specifically evolution algorithms. The part of this thesis is map of theoretical possibilities of evolution algorithms and implementation of program for solving supplier selection problem.

The object of the diploma thesis is to analyze the suppliers of the company STABILA ČR s. r. o. In the thesis are used methods that utilize the basic principles of fuzzy logic. Evaluation of the best suppliers for 2011 is provided in MS Excel and MATLAB. The target is to determine the best material suppliers of the year 2011.

Diplomová práce se zabývá určením rozsahu oprav telefonů ve firmě Mobilshop Valenta Petr, přičem jsou použity pokročilé metody modelování, konkrétně pak fuzzy logika. Cílem práce je vytvoření modelu, který usnadní, zpřesní a urychlí práci pří zpracování každé zakázky.